Internal Audit - Data Analyst

apartmentLenovo placeBukit Merah scheduleFull-time calendar_month7/3/26

Lenovo is building technology that powers progress. We are seeking a Data Analyst to help transform our Internal Audit function through GenAI, automation, and scalable analytics.

This role will lead the design, implementation, and adoption of GenAI solutions—including Copilot Studio agents, audit knowledge bases (RAG), and prompt libraries—embedded directly into audit workflows. You will also develop analytics and automation to enhance risk insights, improve audit efficiency, and enable continuous auditing.

Key Responsibilities

Design, build, and operationalize GenAI solutions for Internal Audit, including Copilot Studio agents, RAG-enabled knowledge bases, and governed prompt libraries.
Embed GenAI into audit workflows, supporting activities such as planning, walkthroughs, testing, and reporting.
Drive GenAI adoption through training, enablement materials, usage guidance, and workflow integration.
Develop scalable analytics and dashboards using Power BI, SQL, and Python to support audit planning, risk assessment, and reporting.
Automate audit testing and continuous monitoring, improving coverage, consistency, and efficiency.
Partner with audit leadership and business stakeholders to identify data needs, define use cases, and deliver actionable insights.
Contribute to audit execution, including risk assessment, testing, issue identification, and reporting, using analytics and GenAI to enhance audit quality.
Support data quality, documentation, and governance, ensuring analytics and GenAI outputs are reliable, traceable, and audit‑ready.

Requirements

Bachelor’s degree in Analytics, Computer Science, MIS, or a related field.
3–5 years of experience in data analytics, business intelligence, automation, or GenAI; experience in audit, risk, or finance is strongly preferred.
Hands-on experience building enterprise GenAI solutions, with Copilot Studio experience required.
Experience designing and governing RAG / knowledge base solutions, including content curation and access control.
Strong Power BI capabilities, including data modeling, DAX, and dashboard design.
Solid understanding of data quality, analytics logic, and audit/risk use cases.
Ability to communicate clearly with both technical and non‑technical stakeholders.

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